Data Driven Models of Short-Term Synaptic Plasticity

Data Driven Models of Short-Term Synaptic Plasticity

Simple models of short term synaptic plasticity that incorporate facilitation and/or depression have been created in abundance for different synapse types and circumstances. The analysis of these models has included computing mutual information between a stochastic input spike train and some sort of...

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Bibliographic Details
Main Authors: Elham Bayat Mokhtari, J. Josh Lawrence, Emily F. Stone
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-05-01
Series:Frontiers in Computational Neuroscience
Subjects:
short term plasticity
epsilon machines
synaptic filtering
mutual information
interneuron-pyramidal cell synapses
causal state splitting reconstruction
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2018.00032/full

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https://www.frontiersin.org/article/10.3389/fncom.2018.00032/full

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